The THREDDS Data Server is a web server that provides metadata and data access for scientific datasets, using a variety of remote data access protocols.

PO.DAAC Web Services are APIs that can be accessed through standard web protocols. They use a ReST model with calls issued over a HTTP connection. On receipt of a request message, our services return the response in either an XML structure or, optionally, a JSON format.

The Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery (MUDROD) is collaborative effort between George Mason University and NASA JPL to improve the search and relevancy ranking of oceanographic data via a simple search interface and powerful backend services. >>

OceanXtremes is a computational platform powered by an intelligent, Cloud-based analytic service backend that enables execution of domain-specific, multi-scale anomaly and feature detection algorithms across the entire archive of ocean science datasets. >>

The Distributed Oceanographic Match-Up Service (DOMS) is a collaborative effort between FSU/COAPS, NCAR, and NASA JPL. DOMS reconciles satellite and in situ datasets in support of NASA’s Earth Science mission. >>

The Virtual Quality Screening Service (VQSS) is a quality-based data filtering and subsetting service. >>

Local instance of Giovanni toolkit for the statistical intercomparison of geophysical parameters using some of our own PO.DAAC datasets. >>

The Metadata Compliance Checker (MCC) is an online tool and web service designed to check and validate the contents of netCDF and HDF granules for the Climate and Forecast (CF) and Attribute Convention for Dataset Discovery (ACDD) metadata conventions. It produces quantitative scoring for these convention attributes as HTML, PDF or JSON outputs.

PO.DAAC Drive is a new way of browsing data at PO.DAAC. Drive is an FTP alternative that allows users to access data via browser and command line as has been traditionally done, but can also allow users to mount the remote data to your own computer, seeing the data as if you had the entire PO.DAAC archive mounted on your own machine!

Earthdata Search application allows you to search, discover, visualize, refine, and access NASA Earth Observation data. It provides search and access capabilities for dataset holdings at all of the Distributed Active Archive Centers (DAACs) as well as the PO.DAAC.

The GCMD holds Earth science data set and service descriptions, such as location of the data or service, associated investigators and other contacts, spatial and temporal coverage, and resolution that provide vital information to help determine whether the data or service meets the user’s needs.

Questions? Answers.

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Need help in searching for a dataset?

The keyword search capability on the PO.DAAC Web Portal supports a ”Google-like" query syntax NOTE: that keyword search is NOT case sensitive; a search for "sea surface temperature" will return the same results as a search for "Sea Surface Temperature". More >>

Include a white space between the words to search for pages that may have just one of several words,

Example: Search for GHRSST L4 will return datasets that have keywords GHRSST or L4

Wildcard (*) will search for partial text so you do not have to type the full word.

Example: Search for GHRS* will return datasets that have keywords GHRSST

Add a plus (+) before a word to include all results that include that word.

Example: Search for +GHRSST +L4 will return datasets that have keywords GHRSST and L4

Add a dash (-) before a word to exclude all results that include that word.

Example: Search for GHRSST -L4 will return datasets that have keywords GHRSST but not L4

Data Citations and Acknowledgments.

NASA data are freely accessible; however, when you publish these data or works based on the data, we request that you cite the datasets within the text of the publication and include a reference to them in your reference list.

A recommended citation is provided for each dataset and appears on the PO.DAAC webpage that describes the dataset. The elements contained in the recommended citation can be reorganized for compliance with a particular reference style that is specified by a publisher.

2018 Ocean Sciences Meeting
Ed Armstrong introducing the "Discovering and Utilizing Data Through Tools and Services" session during the PO.DAAC Town Hall at the 2018 Ocean Sciences Meeting!

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New study finds sea level rise accelerating
Global sea level rise is accelerating incrementally over time rather than increasing at a steady rate, as previously thought, according to a new study based on 25 years of NASA and European satellite data.